PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-16 10:19:49.079286+00:00 (UTC)
In US/Central Time, this is 2024-04-16 05:19:49.079286-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/f53fbeaaec2519940370075f1b6da2f4903bc1b71257c63741d6dcbdeeed7db3.png
We are just generating a random time serie here.
../../_images/6342c946be75161552aa0d3bf2db5028d87cdbfa483587976301ac5a5eb5b04e.png
../../_images/137bbf5b1179f1caa4c14948f3d995eeb0aa1cb4f4e0851a1661a45dfcba5e50.png